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Operations Research, Systems Engineering and Industrial Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Series

Systems Engineering

Engineering Management & Systems Engineering Faculty Publications

2009

Articles 1 - 2 of 2

Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Rapid Sensor Technology: A Risk And System Complexity Analyses Of Early Detection Of Influenza-Like-Illnesses, Cesar Ariel Pinto, Ipek Bozkurt Jan 2009

Rapid Sensor Technology: A Risk And System Complexity Analyses Of Early Detection Of Influenza-Like-Illnesses, Cesar Ariel Pinto, Ipek Bozkurt

Engineering Management & Systems Engineering Faculty Publications

The development of effective and reliable methods to defend the nation against biological terrorism remains an urgent challenge to researchers in the areas of risk, bio-defense, public health, and emergency medicine. The emerging threat of the avian flu pandemic also highlights the unpreparedness of our nation's health care system to meet a highly contagious and infectious disease outbreak. The implementation of a rapid sensor technology for early detection of influenza-like-illness provides possible opportunities, as well as problems. Bounding and defining such a complex problem is one of the first challenges this research addresses. Approaching this problem from various perspectives such …


Sensitivity Analysis Framework For Large And Complex Simulation Models, Ghaith Rabadi, Shannon Bowling, Charles Keating, Resit Unal Jan 2009

Sensitivity Analysis Framework For Large And Complex Simulation Models, Ghaith Rabadi, Shannon Bowling, Charles Keating, Resit Unal

Engineering Management & Systems Engineering Faculty Publications

In this paper, a framework for conducting Sensitivity Analysis (SA) on large and complex simulation models is introduced. The framework consists of components that are designed to make the SA a systematic process that is easy to manage and follow by simulation analysts and practitioners. Unlike local SA (one-variable-at-a-time SA), the method presented here is variance-based and it is rooted in the field of Design of Experiments (DoE) where Input Variables are varied and Output Variables are measured. Based on the DoE results, a risk scoring system is developed to identify the sensitivity of the Input Variables, and as a …